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CDC
2008
IEEE
137views Control Systems» more  CDC 2008»
13 years 11 months ago
An approximate dynamic programming approach to probabilistic reachability for stochastic hybrid systems
— This paper addresses the computational overhead involved in probabilistic reachability computations for a general class of controlled stochastic hybrid systems. An approximate ...
Alessandro Abate, Maria Prandini, John Lygeros, Sh...
SIAMCO
2008
116views more  SIAMCO 2008»
13 years 5 months ago
Optimal Reflection of Diffusions and Barrier Options Pricing under Constraints
We introduce a new class of control problems in which the gain depends on the solution of a stochastic differential equation reflected at the boundary of a bounded domain, along d...
Bruno Bouchard
TROB
2010
129views more  TROB 2010»
13 years 3 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
COR
2008
128views more  COR 2008»
13 years 5 months ago
Solving dynamic stochastic economic models by mathematical programming decomposition methods
Discrete-time optimal control problems arise naturally in many economic problems. Despite the rapid growth in computing power and new developments in the literature, many economic...
Mercedes Esteban-Bravo, Francisco J. Nogales
CDC
2009
IEEE
157views Control Systems» more  CDC 2009»
13 years 10 months ago
On trajectory optimization for active sensing in Gaussian process models
Abstract— We consider the problem of optimizing the trajectory of a mobile sensor with perfect localization whose task is to estimate a stochastic, perhaps multidimensional fiel...
Jerome Le Ny, George J. Pappas